Eye-Controlled Mouse Project

This project enables users to control their computer's mouse cursor using eye movements. The system leverages Python, OpenCV, MediaPipe, and PyAutoGUI for real-time eye tracking and smooth cursor manipulation.

Features

• Real-time Eye Tracking: Tracks eye movements via webcam using MediaPipe.
• Cursor Movement: Maps eye positions to screen coordinates for controlling the cursor.
• Blink Detection: Detects blinks and maps them to mouse clicks:
  • Left Blink: Performs a right-click.
  • Right Blink: Performs a left-click.
• Customizable Settings: Adjust cursor speed and blink thresholds for better control.

Prerequisites

Ensure you have the following installed on your system:

• Python 3.x
• OpenCV
• MediaPipe
• PyAutoGUI

Install the required Python libraries using the following command:

pip install opencv-python mediapipe pyautogui

How It Works

1. Eye Tracking:
   • MediaPipe's Face Mesh is used to identify and track facial landmarks, particularly around the eyes.
2. Cursor Movement:
   • Eye positions are mapped to screen coordinates using the resolution of the user's screen.
3. Blink Detection:
   • Eye Aspect Ratio (EAR) is calculated to detect blinks. Detected blinks are mapped to specific mouse actions.

Usage

1. Clone or download this repository to your local machine.
2. Connect a webcam to your system.
3. Run the main Python script:

python main.py

4. Ensure the webcam feed is visible and functional. Move your eyes to control the cursor and blink to perform mouse clicks.

Project Files

• eye_tracker.py: Handles eye tracking and blink detection using MediaPipe.
• utils.py: contains the code to open camera
• mouse_control.py: Controls mouse movements and clicks using PyAutoGUI.
• main.py: The main script that integrates all components and runs the application.
• README.md: Documentation for the project.

Future Enhancements

• Improve eye tracking accuracy in low-light environments.
• Add support for multi-monitor setups.
• Enhance customization options for blink detection and cursor mapping.
• Add a GUI for user-friendly configuration.

Acknowledgments

• OpenCV: For image processing.
• MediaPipe: For facial landmark detection and tracking.
• PyAutoGUI: For controlling the mouse programmatically.

License

This project is licensed under the MIT License - see the LICENSE file for more details.

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Feel free to contribute or suggest improvements by opening issues or pull requests!